A 3D entanglement-filtered tensor-network RG produces a critical fixed-point tensor for the cubic-lattice Ising model, with scaling dimensions that can match accepted values to within about 0.1-0.4%.
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Three-dimensional real space renormalization group with well-controlled approximations
A 3D entanglement-filtered tensor-network RG produces a critical fixed-point tensor for the cubic-lattice Ising model, with scaling dimensions that can match accepted values to within about 0.1-0.4%.